Dec 2021 – Sep 2024 · 2 yrs 9 mos

Sep 2019 – Dec 2021 · 2 yrs 3 mos

Jan 2018 – Aug 2019 · 1 yr 7 mos

• In my current role I am developing various DNN based ad retrieval algorithms. I have deployed CDSSM, LSTM, S2S based models in multiple languages for Bing Ads. Have also worked on Universal models to help transfer learnings from high resource languages to low resource languages.
• My responsibilities also include mentoring junior colleagues and leading a team.

Sep 2015 – Jan 2018 · 2 yrs 4 mos

• During this stretch I worked on various Keyword extraction techniques like RAKE, KEX. Also explored graph based rewrite algorithms like Simrank, Random walk. This required literature survey to understand various available techniques for ad retrieval and figuring out which will best support the production requirements. I also developed Navigational query classifier which greatly reduced ad DSATs

Sep 2012 – Aug 2015 · 2 yrs 11 mos

• Developed Trademark Classifier for Adquality team under Bing Ads. This involved data analysis as well as designing and setting automated production deployment pipelines. Also, worked as QA for Adquality team.

Sep 2010 – Sep 2012 · 2 yrs · Greater Bengaluru Area

• As a student scholar I explored various complications that can occur while setting a remote instrumentation laboratory. This was part of internship project during my masters at IIITB under Virtual Lab project.

Mar 2009 – Mar 2010 · 1 yr · Chennai Area, India

• As Peoplesoft CRM software developer. Worked on end to end software development life cycle including, requirement gathering, coding and testing.